Please help to understand this question

1. Non- parametric tests

a)Do not test hypotheses about a population

b)Do not rely on samples

c)Do not make assumptions about the shape of a population

d)Do not depend on sample size

e)Do not work with nominal level variables

2. The null hypothesis for a chi-square goodness of fit test is usually

a)No effect

b)Equal proportions

c)Unequal proportions

d)Negative relationship

e)Positive relationship

3. The statistic is likely to be large when

a)The expected frequencies are large

b)The observed frequencies are evenly distributed

c)The difference between observed and expected frequencies is large

d)The difference between observed and expected frequencies is small

e)There are fewer categories

4. On average, the more categories a chi-square test has the...

a)larger the statistic will be

b)smaller the statistic will be

c)smaller the degrees of freedom willbe

d)The larger the expected frequencies will be

e)The smaller the expected frequencies will be

5. chi-square test of independence that rejects the null tells us that...

a)The two variables are independent

b)The two variables are not independent

c)The two variables don't have a relationship

d)The two variables are unrelated

e)The two variables are interval level

6. the degrees of freedom for a chi-square test increase.

a)the critical value increases

b)the critical value decreases

c)the sample size increases

d)the sample size decreases

e)the number of categories decreases